Article first published online: 12 JUN 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 32, Issue 27, pages 4791–4802, 30 November 2013
How to Cite
Rebolj Kodre, A. and Pohar Perme, M. (2013), Informative censoring in relative survival. Statist. Med., 32: 4791–4802. doi: 10.1002/sim.5877
- Issue published online: 23 OCT 2013
- Article first published online: 12 JUN 2013
- Manuscript Accepted: 20 MAY 2013
- Manuscript Received: 10 AUG 2012
- relative survival ratio;
- net survival;
- informative censoring;
- inverse probability weighting
With changing the age distribution at the time of cancer diagnosis, the administrative censoring due to study end may be informative. This problem has been mentioned frequently in the relative survival field, and an estimator aiming to correct this problem has been developed. In this paper, we review the existing methods for estimation in relative survival, demonstrate their deficiencies, and propose weighting to correct both the recently introduced net survival estimator and the Ederer I estimator. Using simulations and real cancer registry data, we evaluate the magnitude of the informative censoring problem. We clarify the assumptions behind the reviewed methods and provide guidance to their usage in practice. Copyright © 2013 John Wiley & Sons, Ltd.